Proceedings of the National Academy of Sciences,
Год журнала:
2025,
Номер
122(12)
Опубликована: Март 21, 2025
Bacterial
motility
in
spatially
structured
environments
impacts
a
variety
of
natural
and
engineering
processes.
Constructing
models
to
predict,
control,
design
bacterial
for
these
processes
remains
challenging
because
bacteria
active
swimmers
have
complex
interactions
with
surfaces
the
precise
environment
geometry
is
unknown.
Here,
we
present
method
deriving
diffusion
coefficients
disordered
media
terms
cell
environmental
parameters.
The
approach
abstracts
dynamics
full
“surface
states,”
which
encode
how
cells
interact
environment.
Then,
long-time
equation
can
be
derived
analytically
from
state
model.
Applying
this
run-and-tumble
particle
2D
Lorentz
gas
provides
analytical
predictions
that
show
good
agreement
simulations.
Like
past
studies,
observe
diffusivity
depends
nonmonotonically
on
cell’s
run
length.
Using
expressions,
derive
optimal
length,
revealing
an
intuitive
dependence
length
scales.
Furthermore,
find
rescaling
time
by
average
distance
between
trap
events
collapses
all
diffusivities
onto
single
curve,
analytically.
Thus,
our
extracts
interpretable,
macroscopic
diffusive
behavior
microscopic
dynamics,
tools
intuitions
understanding
media.
FEMS Microbiology Reviews,
Год журнала:
2021,
Номер
45(6)
Опубликована: Июль 2, 2021
Most
swimming
bacteria
are
capable
of
following
gradients
nutrients,
signaling
molecules
and
other
environmental
factors
that
affect
bacterial
physiology.
This
tactic
behavior
became
one
the
most-studied
model
systems
for
signal
transduction
quantitative
biology,
underlying
molecular
mechanisms
well
characterized
in
Escherichia
coli
several
bacteria.
In
this
review,
we
focus
primarily
on
less
understood
aspect
chemotaxis,
namely
its
physiological
relevance
individual
cells
populations.
As
evident
from
multiple
recent
studies,
even
same
species
flagellar
motility
chemotaxis
might
serve
roles,
depending
conditions.
Among
these,
finding
sources
nutrients
more
generally
locating
niches
optimal
growth
appear
to
be
major
functions
which
could
explain
many
chemoeffector
preferences
as
gene
regulation.
Chemotaxis
also
enhance
efficiency
colonization
by
motile
bacteria,
involves
intricate
interplay
between
collective
behaviors
trade-offs
motility.
Finally,
play
roles
including
swarming,
biofilm
formation
autoaggregation,
their
interactions
with
animal
plant
hosts.
Microbial
chemotaxis
plays
a
key
role
in
diversity
of
biological
and
ecological
processes.
Although
microfluidics-based
assays
have
been
applied
to
investigate
bacterial
chemotaxis,
retrieving
chemotactic
cells
off-chip
based
on
their
dynamic
responses
remains
limited.
Here,
we
present
simple
three-dimensional
microfluidic
platform
capable
programmable
delivery
solutions,
maintaining
static,
stable
gradients
for
over
20
hours,
followed
by
active
sorting
retrieval
bacteria
phenotypes.
Using
this
platform,
revealed
the
swimming
features
individual
Molecular Systems Biology,
Год журнала:
2018,
Номер
14(3)
Опубликована: Март 1, 2018
Article8
March
2018Open
Access
Source
DataTransparent
process
Tuning
dCas9's
ability
to
block
transcription
enables
robust,
noiseless
knockdown
of
bacterial
genes
Antoine
Vigouroux
Synthetic
Biology
Laboratory,
Institut
Pasteur,
Paris,
France
Microbial
Morphogenesis
and
Growth
Search
for
more
papers
by
this
author
Enno
Oldewurtel
orcid.org/0000-0002-2813-0259
Lun
Cui
orcid.org/0000-0001-5907-0538
David
Bikard
Corresponding
Author
[email
protected]
orcid.org/0000-0002-5729-1211
Sven
van
Teeffelen
orcid.org/0000-0002-0877-1294
Information
Vigouroux1,2,
Oldewurtel2,
Cui1,
*,1
*,2
1Synthetic
2Microbial
*Corresponding
author.
Tel:
+33
1
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E-mail:
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Molecular
Systems
(2018)14:e7899https://doi.org/10.15252/msb.20177899
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Info
Abstract
Over
past
few
years,
tools
that
make
use
Cas9
nuclease
have
led
many
breakthroughs,
in
control
gene
expression.
The
catalytically
dead
variant
known
as
dCas9
can
be
guided
small
RNAs
target
genes,
strategy
also
CRISPRi.
Here,
we
reveal
level
complementarity
between
guide
RNA
controls
rate
at
which
polymerase
“kicks
out”
from
completes
transcription.
We
mechanism
precisely
robustly
reduce
expression
defined
relative
amounts.
Alternatively,
tuning
repression
changing
concentration
is
noisy
promoter-strength
dependent.
demonstrate
broad
applicability
method
study
genetic
regulation
cellular
physiology.
First,
characterize
feedback
strength
model
auto-repressor.
Second,
impact
amount
variations
cell-wall
synthesizing
enzymes
on
cell
morphology.
Finally,
multiplex
system
obtain
any
combination
fractional
two
genes.
Synopsis
When
encounters
inactivated
nuclease,
it
has
certain
probability
going
through
depending
sequence.
This
property
exploited
multiple
their
native
locus.
For
high
enough
concentration,
locus
saturated
only
depends
RNAP
passage
probability.
Imperfect
allows
fine-tuning
consequently
levels.
In
saturating
conditions,
does
not
produce
additional
noise
applied
measure
response
circuit,
analyze
how
synthesis
affect
shape,
tune
levels
independently.
Introduction
A
powerful
way
investigate
bacteria
vary
cell.
To
end,
are
typically
placed
under
inducible
promoters.
While
easy
implement,
approach
disadvantages:
lie
outside
dynamic
range
promoter.
promoters
increase
comparison
with
(Elowitz
et
al,
2002).
And
third,
orthogonal
systems
exist,
thus
making
multiplexing
difficult.
Recently,
different
strategies
been
devised
knock
down
amounts
levels:
Specifically,
antisense
manner
(Brophy
Voigt,
2016).
works
well
moderate
promoter
strength,
becomes
less
efficient
stronger
As
an
alternative
strategy,
knocked
varying
degrees
using
CRISPR
technology
(Bikard
2013;
Qi
2013).
catalytic
mutant
form
RNA-guided
Streptococcus
pyogenes
(dCas9)
easily
programmed
bind
position
interest
chromosome,
requirement
“NGG”
protospacer
adjacent
motif
(PAM).
unable
cleave
DNA,
but
still
binds
DNA
strongly.
If
chosen
downstream
promoter,
serves
roadblock
blocks
elongation.
single-cell
level,
interesting
implications
immune
system.
then
develop
precise
noise-preserving
independent
strength.
Target
search
begins
probing
presence
PAM
followed
melting
complementarity-dependent
strand
invasion
(Sternberg
2014;
Szczelkun
2014).
PAM-proximal
region
seed
sequence
important
binding,
several
mismatches
PAM-distal
tolerated
demonstrated
binding
assays
(Kuscu
Wu
2014)
monitoring
target-gene
Eschericha
coli
degree
controlled
quantitatively
ways:
first,
impacts
DNA.
recently
Bacillus
subtilis
where
was
xylose-inducible
(Peters
2016),
E.
strain
modified
enable
tunable
PBAD
(Li
2016);
second,
introducing
perfectly
matched
leads
very
strong
repression,
decreasing
progressively
reduces
compare
these
characterizing
properties
dCas9-mediated
level.
us
propose
novel
physical
repression.
It
previously
assumed
decreased
would
decrease
virtue
reduced
occupancy
(Farasat
Salis,
mechanism:
inside
open
reading
frame
(ORF),
determines
(RNAP)
kicks
out
during
attempt,
while
spontaneous
unbinding
negligibly
small.
saturate
target,
alone
desirable
properties:
add
extrinsic
On
contrary,
inherently
target.
complementarity-based
fluorescent-protein
reporters
inserted
upstream
its
reporter
fusions
rather
than
direct
targeting
yields
predictable
fold
characterized
provides
monitor
single
cells.
versatility
our
examples:
accurate
quantify
auto-repressor
measuring
much
actual
differs
rate.
take
advantage
steady-state
growth
operon
coding
essential
“rod”
complex,
PBP2
RodA.
multiplexed
Results
Varying
RNA-target
controlling
without
addition
CRISPR-dCas9
modulates
integrated
cassettes
constitutively
expressed
reporters,
sfgfp
superfolder
green
fluorescent
protein
(GFP)
mCherry
red
(RFP)
chromosomal
loci
MG1655.
repress
either
knock-down,
dcas9
S.
Ptet
anhydrotetracycline
(aTc)
(Qi
GFP-
RFP-coding
ORFs
array
necessary
tracrRNA,
complex
together
(Hsu
Inducing
setup
did
(Appendix
Fig
S1).
measured
stability
over
time
saw
5
days
culture.
Once
stopped
induction
all
40
clones
tested
recovered
stable,
show
toxicity.
system,
tuned
modulating
aTc
concentrations
or
spacer
numbers
5′
side
spacer.
employed
GFP
high-throughput
microscopy
(Fig
1A
B).
expected,
average
increasing
complementarity.
However,
distributions
differed
significantly
modes
modulation
1C
D).
large
cell-to-cell
fluctuations
intermediate
regime,
strongly
1D
Appendix
S2).
induced,
non-repressed
constitutive
were
recovered.
expression,
presumably
site
elaborated
below.
inducing
constant
100
ng/ml
maintained
(standard
deviation
mean)
almost
plateau
value
about
0.3
(corresponding
30%)
similar
measurements
made
others
wild-type
(Taniguchi
2010).
Complementarity-based
qualitatively
transcriptional
repressors.
example,
Lac
repressor
part
targets
fivefold
compared
unrepressed
case
(see
S3),
agreement
previous
Accordingly,
observed
if
modulated
inducer
concentration.
proposed
here
precision
Figure
1.
modulate
generating
A,
B.
Average
obtained
(A)
(B)
inducer.
Relative
given
relatively
non-targeting
Individual
points
represent
replicates.
Horizontal
bars
median
three
C,
D.
Distribution
each
experiment
panels
(A
Curves
same
color
replicates
condition.
Mechanistic
dCas9-targeted
product
probabilities:
P(stop)
blocking
upon
collision
occupying
(termed
occupancy).
determined
kon,
[dCas9],
kout.
kout,
turn,
sum
transcription-independent
kick-out
due
4
details).
F.
schematically
illustrate
behavior
(left)
(right),
respectively.
data
available
online
figure.
Data
[msb177899-sup-0002-SDataFig1.zip]
Download
figure
PowerPoint
transcribe
dCas9-bound
lack
suggested
might
test
hypothesis,
fraction
active
complexes
roughly
factor
decoy
2A).
population-averaged
flow
cytometry.
Indeed,
found
absence
both
low
2B),
confirming
hypothesis
20
11
bp.
remained
true
even
spacers
array,
regardless
S4).
effectiveness
confirmed
gradually
lowering
until
transition
no
happened
higher
decoys
one
S4B),
complex.
cases,
induction,
residual
reached
around
3%,
corresponding
concentration-independent
regime.
note
following
population
averages
performed
cytometry
generally
noisier
results
presented
2.
mismatched
depend
Left:
Schematic
assay
used
dependence
R20
RFP
perfect
match.
R11
bp
C
Introducing
acts
halves
Right:
Northern
blot
measurement
processed
R20,
reflecting
carrying
moment
measurement.
Error
standard
deviations
biological
a.u.:
arbitrary
units.
Flow
levels,
point
representing
replicate.
values
normalized
respect
(C-C).
Expression
differ
(C-R20
vs.
R20-R20,
P-value:
0.68),
nor
when
order
reversed
R20-C,
0.21),
(C-R11
R11-R11,
0.53).
P-values
come
two-sided
Student's
t-test
natural
logarithms
mean
(significance
threshold:
0.017
after
Bonferroni
correction).
2
[msb177899-sup-0003-SDataFig2.zip]
Previously,
thought
solely
is,
rates
unbinding.
According
simple
view,
should
lead
equilibrium
occupancy,
fully
occupied.
view
clear
contradiction
independence
2B).
suggests
dCas9,
bound
times,
must
responsible
reconcile
robustness
hypothesize
possible
suggest
≤
1E).
=
1,
efficiently
every
collide.
At
opposite
extreme,
0,
never
1F).
mechanism,
γ0
P(bound)
Therefore,
close
saturated.
longer
explaining
Interestingly,
moved
ORF
region,
increased
S5).
finding
pass
occupied
thanks
processive
activity,
cannot
relies
diffusion.
know
whether
influence
definition,
Repression
measurably
affected
strengths,
verify
prediction,
put
strengths
(P127
PPhlf)
blocked
four
number
mismatches.
PPhlF
times
P127
3A),
regard
promoter's
initial
identical
3B).
12
weaker
PLac
mM
IPTG
S6).
These
observations
confirm
conditions
3.
conditionsRelative
repressed
set
(A,
B)
non-saturating
(C)
concentrations.
Raw
P127,
C.
Experimental
predicted
(using
lower
aTc).
PPhlf
up
six
RNA,
quantitative
Appendix).
bars:
error
computational
prediction.
3
[msb177899-sup-0004-SDataFig3.zip]
supporting
“kick-out”
ejection
successful
wondered
ejected
events.
displacements
they
could
RNAP,
kon[dCas9]
kout
combined
RNAP-induced
ejections,
possibly
replication-fork-based
(Jones
2017;
see
therefore
P(bound),
which,
fold.
observation
agrees
full
(14
bp)
complementarity,
respectively
3C
S7A).
predicts
dominated
events,
rare
(4;
S7B).
compatible
leaves
spontaneously
gets
kicked
replication.
prediction
consistent
long
half-life
reported
vivo
2017)
vitro
expected
valid
14
bp,
1A)
remains
become
equally
collision-based
ejections
below
some
Yet,
applications
below,
rebinding
paragraph).
proportional
rate,
principle
events
reads
template
increases
temperature
(Wiktor
2016)
42°C,
suggesting
temperature.
bears
possibility
robust
dCas9-copy
temperature,
condition
saturation
fulfilled.
robustness,
temperatures
ranging
30
42°C.
decayed
continuously
4),
displaying
sharp
37
Regardless
S8).
From
model,
conclude
being
RNAP.
indicates
work
independently
tested.
4.
efficiency
temperaturesRelative
temperatures.
[msb177899-sup-0005-SDataFig4.zip]
insertions
contexts
Precision,
versatile
strategy.
context,
insert
translational
gene.
provide
convenient
CRISPR-based
perform
inspired
allelic
exchange
(Pósfai
1999)
Text
S9).
library
plasmids
introduced
desired
sequences.
taking
established
above.
Furthermore,
revealing
variations.
addgene
(https://www.addgene.org/depositor-collections/bikard-crispr-repression/).
following,
physiology:
effect
morphology
growth.
uncover
circuits,
chose
described
PhlF
auto-repres
Journal of The Royal Society Interface,
Год журнала:
2017,
Номер
14(132), С. 20170141 - 20170141
Опубликована: Июль 1, 2017
Natural
selection
has
shaped
the
strategies
for
survival
and
growth
of
microorganisms.
The
success
microorganisms
depends
not
only
on
slow
evolutionary
tuning
but
also
ability
to
adapt
unpredictable
changes
in
their
environment.
In
principle,
adaptive
range
from
purely
deterministic
mechanisms
those
that
exploit
randomness
intrinsic
many
cellular
molecular
processes.
Depending
environment
selective
pressures,
particular
can
lie
somewhere
along
this
continuum.
recent
years,
non-genetic
cell-to-cell
differences
have
received
a
lot
attention,
least
because
potential
impact
microbial
populations
survive
dynamic
environments.
Using
several
examples,
we
describe
origins
spontaneous
induced
phenotypic
adaptation.
We
identify
some
commonalities
these
examples
consider
role
chance
constraints
Nature Communications,
Год журнала:
2018,
Номер
9(1)
Опубликована: Май 30, 2018
Abstract
Collective
behavior
can
spontaneously
emerge
when
individuals
follow
common
rules
of
interaction.
However,
the
each
individual
differs
due
to
existing
genetic
and
non-genetic
variation
within
population.
It
remains
unclear
how
this
individuality
is
managed
achieve
collective
behavior.
We
quantify
in
bands
clonal
Escherichia
coli
cells
that
migrate
collectively
along
a
channel
by
following
self-generated
gradient
attractant.
discover
despite
substantial
differences
chemotactic
abilities,
are
able
as
coherent
group
sorting
themselves
moving
band.
This
mechanism
ensures
between
abilities
compensated
local
steepness
traveling
must
navigate,
determines
minimum
performance
required
travel
with
By
resolving
conflicts
migration,
enables
populations
maintain
advantageous
diversity
while
on
move.
Proceedings of the National Academy of Sciences,
Год журнала:
2020,
Номер
117(31), С. 18729 - 18736
Опубликована: Июль 15, 2020
Significance
The
biology
of
many
microorganisms
has
been
adapted
to
a
feast-and-famine
lifestyle.
Thus,
understanding
population
dynamics
during
transitions
from
starvation
resource
abundance
is
important
for
fundamental
and
applied
reasons.
Here,
we
study
starved
populations
bacteria
encountering
new
resources
ask
how
the
behavior
single
cells
gives
rise
emergent
population-level
traits.
We
find
that
growth
survival
are
dominated
by
phenotypic
minorities:
small
subpopulations
with
extreme
lag
times.
As
consequence,
can
break
life
history
trade-off
between
evolving
variation
in
time.
By
showing
why
sustain
long
times
our
findings
explain
prevalence
antibiotic
tolerance
lag.
Nature Communications,
Год журнала:
2019,
Номер
10(1)
Опубликована: Апрель 23, 2019
Many
microorganisms
have
evolved
chemotactic
strategies
to
exploit
the
microscale
heterogeneity
that
frequently
characterizes
microbial
habitats.
Chemotaxis
has
been
primarily
studied
as
an
average
characteristic
of
a
population,
with
little
regard
for
variability
among
individuals.
Here,
we
adopt
classic
tool
from
animal
ecology
-
T-maze
and
implement
it
at
by
using
microfluidics
expose
bacteria
sequence
decisions,
each
consisting
migration
up
or
down
chemical
gradient.
Single-cell
observations
clonal
Escherichia
coli
in
maze,
coupled
mathematical
model,
reveal
strong
sensitivity
coefficient
exists
even
within
populations
bacteria.
A
comparison
different
potential
sources
reveals
originates
coefficient,
arising
distribution
pathway
gains.
This
may
functional
role,
example
context
migratory
bet-hedging
strategies.